UScholar Works
 
Filters: Collection: "ir_uspace" Year End: 2006
226 - 250 of 5,163
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CreatorTitleDescriptionSubjectDate
226 Armentrout, Peter B.Activation of methane by size-elected iron cluster cations, Fen+ (n=2-15): cluster-CHx (x=0-3) bond energies and reaction mechanismsThe kinetic energy dependences of the reactions of Fen + (n=2 - 15) with CD4 are studied in a guided ion beam tandem mass spectrometer over the energy range of 0-10 eV. All reactions exhibit thresholds and two main products, FenD+ and FenCD2+, are formed.Metal clusters; Iron ions; Bond energies; Dehydrogenation; Endothermic reactions; Transition metal ions2001
227 Beckerle, Mary C.Activation-dependent redistribution of the adhesion plaque protein, talin, in intact human plateletsTalin is a high molecular weight protein localized at adhesion plaques in fibroblasts. It binds vinculin and integrin and appears to participate in generating a transmembrane connection between the extracellular matrix and the cytoskeleton.Talin1989
228 Sobh, Tarek M.Active inspection and reverse engineeringWe propose a new design for inspection and reverse engineering environments. In particular, we investigate the use of discrete event dynamic systems (DEDS) to guide and control the active exploration and sensing of mechanical parts for industrial inspection and reverse engineering. We introduce dyn...Discrete event dynamic systems; DEDS; Industrial inspection1993
229 Zimmer, ZacharyActive life expectancy and functional limitations among older Cambodians: results from a 2004 surveyThis study's aims are to: 1) determine the prevalence of functional limitations among older adults in Cambodia using activities of daily living (ADLs); 2) compare limitation prevalence with other countries in the region; 3) estimate active life expectancy; 4) examine standard correlates of function...Active life expectancy; Functional limitations2005
230 Horch, Kenneth W.; Lawrence, Steve M.; Dhillon, Gurpreet S.Acute peripheral nerve recording characteristics of polymer-based longitudinal intrafascicular electrodesWe examined the recording characteristics of two different types of polymer-based longitudinal intrafascicular electrodes (LIFEs) in peripheral nerve: single-stranded (s-polyLIFEs) and multistranded (m-polyLIFEs). Recordings were also made from Pt-Ir wire-based electrodes (PtIrLIFEs) as a control. T...Sciatic Nerve; Intrafascicular Electrodes, Peripheral Nerve Recording2004
231 Organick, Elliott I.ADA to silicon transformations: the outline of a methodThis report explores the contention that a high-order language specification of a machine (such as an Ada program) can be methodically transformed into a hardware representation of that machine. One series of well-defined steps through which such transformations can take place is presented in this i...ADA program; High-order language specification1982
232 Carter, Tony M.Ada-to-silicon compiler study (Final Report 30 Jan 85 - 30 Jun 86)The vision of a system design environment in which both hardware and software components could be designed, tested, and executed was proffered by the late Dr. Elliott Organick1 in 1981. He was impressed by the objectiveness of Ada and the availability of an architecture (the Intel 432) which was sp...ADA language1986
233 Blumenthal, Donald K.; Underwood, Clayton J.Adaptation of the protein kinase filter paper assay to a 96-well microtiter format.The most widely used method for assaying protein kinase activities involves incorporation of radioactive phosphate into a protein or peptide substrate with subsequent binding or precipitaion of the radiolabeled substrate onto filter paper squares. We have adapted this assay for use with readily avai...Protein Kinase Activities; Filter Papers; Radioactive Phosphate1999-02-01
234 Mathews, V. JohnAdaptive algorithms for identifying recursive nonlinear systemsABSTRACT This paper presents two fast least-squares lattice algorithms for adaptive non-linear filters equipped with system models involving nonlinear feedback. Such models can approximate a large class of non-linear systems adequately, and usually with considerable parsimony in the number of coeff...1991
235 Mathews, V. JohnAdaptive bilinear predictorsThis paper considers an extended recursive least squares (RLS) adaptive bilinear predictor. It is shown that the extended RLS adaptive bilinear predictor is guaranteed to be stable in the sense that the time average of the squared a-posteriori prediction error signal is bounded whenever the input...1994
236 Nichols, ShaunAdaptive complexity and phenomenal consciousnessFocuses on epiphenomenalism problems in arguments about evolutionary function of phenomenal consciousness. Implications of cognitive neuropsychology evidence for the structure of phenomenal consciousness; Distinction of different kinds of epiphenominalist arguments; Provision of a developmental basi...Cognitive neuroscience; Cognizant; Exceptional2001-09-11
237 Mathews, V. JohnAdaptive filters requiring zero multiplicationsThis paper introduces an adaptive filter structure that requires zero multiplications for its implementations. The primary input signals are quantized using DPCM and the DPCM outputs are processed by the adaptive filter. The sign algorithm. We show that if the parameters are chosen properly, hardwar...1987
238 Cohen, ElaineAdaptive isocurves based rendering for freeform surfacesFreeform surface rendering is traditionally performed by approximating the surface with polygons and then rendering the polygons. This approach is extremely common because of the complexity in accurately rendering the surfaces directly. Recently, several papers presented methods to render surfaces ...Freeform surface rendering; Isocurves1992
239 Cohen, ElaineAdaptive isocurves based rendering for freeform surfacesFreeform surface rendering is traditionally performed by approximating the surface with polygons and then rendering the polygons This approach is extremely common because of the complexity in accurately rendering the surfaces directly Recently?? several papers presented methods to render surface...Freeform surface rendering; Isocurves1992
240 Mathews, V. JohnAdaptive lattice bilinear filtersAbstract-This paper presents two fast least squares lattice algorithms for adaptive nonlinear filters equipped with bilinear system models. Bilinear models are attractive for adaptive filtering applications because they can approximate a large class of nonlinear systems adequately, and usually with...1993
241 Mathews, V. JohnAdaptive nonlinear digital filter with sequential regression algorithmThe purpose of this paper is to introduce an adaptive nonlinear digital filtering algorithm which use the sequential regression (SER) method to update the second order Volterra filter coefficients in a recursive way. Conventionally, the SER method has been used to invert large matrices which result ...1984
242 Mathews, V. JohnAdaptive parallel-cascade truncated volterra filtersAbstract-This paper studies adaptive truncated Volterra filters employing parallel-cascade structures. Parallel-cascade realizations implement higher order Volterra systems a s a parallel connection of multiplicative combinations of lower order truncated Volterra systems. A normalized LMS adaptive f...1998
243 Mathews, V. JohnAdaptive phase transform processors for time delay estimationThis paper introduces two recursive realizations of the phase transform (PHAT) processor for time-delay estimation (TDE), using a simple one-pole low-pass filter and the least-mean-square (LMS) adaptive filter, respectively. It is shown that these adaptive methods are capable of tracking time-varyin...1993
244 Mathews, V. JohnAdaptive polynomial filtersWhile linear filter are useful in a large number of applications and relatively simple from conceptual and implementational view points. there are many practical situations that require nonlinear processing of the signals involved. This article explains adaptive nonlinear filters equipped with polyn...1991
245 Mathews, V. JohnAdaptive realization of a maximum likelihood time delay estimatorABSTRACT This paper presents an adaptive maximum likelihood method for estimating the time difference of arrival of a source signal at two spatially separate sensors. It is well-known that the maximum likelihood technique achieves the Cramer-Rao lower bound for time delay estimation error for ce...1996
246 Mathews, V. JohnAdaptive realizations of the maximum likelihood processor for time delay estimationAbstract-This correspondence introduces an adaptive realization of the maximum likelihood (ML) processor for time delay estimation (TDE). Also presented is a modified ML processor, which requires less computations but still performs better than the other when implemented in an adaptive way. Widrow'...1984
247 Mathews, V. JohnAdaptive realizations of the phase transform for time delay estimationABSTRACT This paper introduces two recursive realizations of the Phase Transforn (PHAT) processor for tine delay estimation (TOE), using a simple one-pole lowpass filter and the least mean square (LMS) adaptive filter, respectively. It is shown that these adaptive methods are very effective in redu...1984
248 Mathews, V. JohnAdaptive unsharp masking for contrast enhancementABSTRACT A new scheme o,f unsharp masking for image contrast enhancement is presented in this paper. An adaptive algorithm is introduced so that a sharpening action is performed only in locations where the image exhibits significant dynamics. Hence, the amplification of noise in smooth areas i...1997
249 Mathews, V. JohnAdaptive volterra filters using orthogonal structuresAbstract- This paper presents an adaptive Volterra filter that employs a recently developed orthogonalization procedure of Gaussian signals for Volterra system identification. The algorithm is capable of handling arbitrary orders of nonlinearity P as well as arbitrary lengths of memory N for the sys...1995
250 Mathews, V. JohnAdaptive volterra filters using orthogonal structuresAbstract-This paper presents an adaptive Volterra filter that empolys a recently developed orthogonalization procedure of Gaussian signals for Volterra system identification. The algorithm is capable of handling arbitrary orders of nonlinearity P as well as arbitrary lengths of memory N for the syst...1996
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